Features of SAS Enterprise Guide for probabilistic modeling system, macroeconomic analysis and forecasting

Скорочена інформація про документ
dc.audience.departmentКафедра математичних методів системного аналізуuk
dc.audience.disciplineБайєсівські мережі та дерева рішень в СППРuk
dc.audience.disciplineПрикладна статистикаuk
dc.audience.disciplineВступ до інтелектуального аналізу данихuk
dc.audience.facultyІнститут прикладного системного аналізуuk
dc.contributor.authorProsyankina-Zharova, Tetyana Ivanivna
dc.contributor.authorTerentiev, Oleksandr Mykolaiovych
dc.contributor.authorBidyuk, Petro Ivanovych
dc.contributor.authorMakukha, Mikhailo Pavlovych
dc.date.accessioned2017-06-06T13:15:49Z
dc.date.available2017-06-06T13:15:49Z
dc.date.created2016-02-01
dc.date.issued2016
dc.date.submitted2016-02-01
dc.description.abstractenThis paper addresses to the problem of using SAS Enterprise Guide 6.1 as a means for building probabilistic models and as optimum method of modeling gross domestic product in terms of the economic crisis and social threats is proposed. Today in a complex socio-political and economic situation growing influence of external factors, presence of uncertainties and risks there exists a problem of anticipating potential threats in the humanitarian and social spheres and ways to overcome them aiming to provide food security and controllability of ecological situation. All these problems, as reported in the NATO program “Science for Peace and Security”, are of high priority for the countries that need to take into account threats to security, including Ukraine. That is why in the framework of the project NUKR. SFPP G4877 “Modeling and Mitigation of Social Disasters Caused by Catastrophes and Terrorism” the problems of scientific prediction of national economy for the period to 2030 as one of the measures preventing growth of social tension in the country are disclosed.en
dc.format.pagerangePp. 112-122en
dc.identifier.citationFeatures of SAS Enterprise Guide for probabilistic modeling system, macroeconomic analysis and forecasting / Prosyankina-Zharova Tetyana, Terentiev Oleksandr, Bidyuk Petro, Makukha Mikhailo // Journal of Mathematics and System Science. – New-York : David Publishing Company, USA, 2016. – Vol. 6. – Pp. 112–122.en
dc.identifier.doi10.17265/2159-5291/2016.03.003
dc.identifier.issn2159-5291
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/19567
dc.language.isoenuk
dc.publisherDavid Publishing Company, USAen
dc.publisher.placeNew-Yorken
dc.status.pubpublisheduk
dc.subjectBayesian networksen
dc.subjectdata-miningen
dc.subjectforecastingen
dc.subjectmodeling of gross domestic producten
dc.subjectNUKR. SFPP G4877en
dc.subject.udc62-50uk
dc.titleFeatures of SAS Enterprise Guide for probabilistic modeling system, macroeconomic analysis and forecastingen
dc.typeArticleuk

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